Cloud. Infrastructure. AI.
Provision the cloud. Keep it reliable. Put AI to work.
Organizations from the founder’s prior professional experience. Not a claim of FocalLoop clients, partnerships, or endorsement.
McKesson
Molina Healthcare
Honda
Lucid Motors
Riot Games
IBM
Raytheon
CitibankFrom the first Terraform plan to day-two operations, FocalLoop designs, provisions, and supports the systems your business runs on. We connect reliable cloud foundations with data platforms and AI workflows your team can understand and control.
Architecture, implementation, and operational support.
One connected path from provisioning to production.
Build repeatable infrastructure across AWS, Azure, and Google Cloud. From landing zones and networking to compute, identity, and Kubernetes, turn architecture into reviewed, version-controlled deployments.
Build a stronger foundationPut agentic AI to work inside real engineering workflows. Set up Claude Code, provision Model Context Protocol (MCP) servers, and connect agents to approved tools and data with scoped access, evaluations, and human review.
Make AI usefulKeep infrastructure dependable after deployment. Apply site reliability engineering (SRE) to observability, service-level objectives, incident readiness, and toil reduction, with practical support and a clear operating model.
Improve how you operateBring Databricks into your cloud architecture with the infrastructure and controls it needs. Provision workspaces, configure networking and identity, and establish the platform foundations for governed analytics and AI workloads.
Build your data foundationCloud, platforms, and AI.
Designed to work as one.
From separate decisions to a connected system.
Direct engineering ownership, from the first architecture decision to an agreed support model.
Understand your business, your architecture, and what’s getting in the way. Agree on the problem worth solving before choosing the solution.
The output A shared definition of successConnect the target architecture to a practical delivery plan. Define the scope, milestones, risks, and commercial terms together.
The output An architecture and an actionable planDeliver in small, reviewable steps. Use automation and AI to accelerate the work, with human judgment at each consequential decision.
The output Tested systems in your environmentValidate against the original goals. Document decisions, transfer knowledge, and give your team a clear operating model for what comes next.
The output Ownership, documentation, and a path forwardFocused engagements that create
a clear next step for your business.
A focused review of cloud architecture, Terraform, reliability, security, and operating costs. Leave with a prioritized implementation plan.
Prioritized findings.
A decision-ready roadmap.
Validate one agentic workflow, Claude Code rollout, or MCP integration in a controlled environment. Define access boundaries and evaluation criteria before scaling.
A working pilot.
Evidence for your next investment.
Hands-on infrastructure provisioning, Databricks platform setup, or SRE improvements alongside your team. Ongoing support is scoped to your environment and needs.
Working infrastructure.
Runbooks and clear operational ownership.
FocalLoop is an independent, founder-led infrastructure and AI consultancy. You work directly with the engineer responsible for architecture, provisioning, and delivery. AI-assisted tooling accelerates research, implementation, and checks. Production access, technical decisions, and accountability stay with a human.
A close working relationship with the person doing the work.
Your code, infrastructure, and documentation, in your hands.
The technology that fits your goals, constraints, and team.
Scope comes first. After an initial conversation, we agree on deliverables, timing, and pricing before work begins. Focused assessments, implementation projects, and ongoing advisory support are scoped individually.
Yes. Start with a specific architecture question, a cloud cost review, or one AI workflow. Use what we learn together to decide whether a larger engagement makes sense.
Absolutely. FocalLoop works alongside your engineers and business stakeholders. Shared decisions, documented architecture, and knowledge transfer are part of the work.
Claude Code and other AI-assisted tools can support implementation and validation within agreed boundaries. MCP integrations receive explicitly scoped access to approved systems. We agree on data handling and tool permissions before use; consequential production changes require human review.
You receive the Terraform, configuration, runbooks, and operating guidance needed to take ownership. Infrastructure support, SRE improvements, and maintenance can continue under a separate scope. Coverage hours, response targets, and escalation arrangements are agreed explicitly; 24/7 support is not implied.
Infrastructure to provision. Reliability to improve.
AI and data platforms to put into production.
Tell us where you want to go.
We’ll help find the way forward.
